JMP® Software: Analyzing Multidimensional Data

This course demonstrates various ways to examine high dimensional data in fewer dimensions, as well as patterns that exist in the data. Relationships between the observations, as well as relationships between the variables will be uncovered by using multivariate techniques. You will learn how to use principal components analysis to reduce the number of data dimensions and how to use loadings plots to understand the relationships between variables. Further you will interpret principal component scores and perform factor analysis and you will identify natural groupings in the data via cluster analysis.

Voraussetzungen
Before attending this course, you should have experience in ANOVA and Regression („JMP Software: Varianzanalyse und Regression" (JANR10)).

Zielgruppe
This course is for JMP users who work with high dimensional data and have a need to identify patterns or groups in the data.

Module
JMP Software

Kursinhalte


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